A deep-learning-based in-situ surface anomaly detection methodology for laser directed energy deposition via powder feeding

Research article (Journal of Manufacturing Processes, 2022) · cited 49× · AI/ML
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A deep-learning-based in-situ surface anomaly detection methodology for laser directed energy deposition via powder feeding

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A deep-learning-based in-situ surface anomaly detection methodology for laser directed energy deposition via powder feeding is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A deep-learning-based in-situ surface anomaly detection methodology for laser directed energy deposition via powder feeding. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-learning-based-in-situ-surface-anomaly-detection-methodology-for-laser-directed-energy-deposition-via-powder-feed
MLA “A deep-learning-based in-situ surface anomaly detection methodology for laser directed energy deposition via powder feeding.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-learning-based-in-situ-surface-anomaly-detection-methodology-for-laser-directed-energy-deposition-via-powder-feed.
BibTeX @misc{4ortxyz_a-deep-learning-based-in-situ-surface-anomaly-detection-methodology-for-laser-directed-energy-deposition-via-powder-feed_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A deep-learning-based in-situ surface anomaly detection methodology for laser directed energy deposition via powder feeding}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-learning-based-in-situ-surface-anomaly-detection-methodology-for-laser-directed-energy-deposition-via-powder-feed}, note = {Accessed: 2026-05-24}}
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